In this article we present a comparative study between a Bayesian classifier and the method SPC (Statistical Process Control). The Bayesian classifier is included in the virtual machine WEKA, and SPC is manly used to monitor processes in different domains. These two methods are applied to a set of data collected from a SunSPOT in order to detect falls. A comparative analysis of these two approaches was performed in order to have the best strategy to be apply in real scenarios.